Title Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks
Authors DURAN ROSAL, ANTONIO MANUEL, Hervas-Martinez, C. , Tallon-Ballesteros, A. J. , MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, Salcedo-Sanz, S.
External publication No
Means Ocean Eng.
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 1.89400
SJR Impact 1.25800
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962438996&doi=10.1016%2fj.oceaneng.2016.03.053&partnerID=40&md5=c1a2ecbc896c0725fe9f349f5a811264
Publication date 01/05/2016
ISI 000376052000026
Scopus Id 2-s2.0-84962438996
DOI 10.1016/j.oceaneng.2016.03.053
Abstract In this paper we tackle the problem of massive missing data reconstruction in ocean buoys, with an evolutionary product unit neural network (EPUNN). When considering a large number of buoys to reconstruct missing data, it is sometimes difficult to find a
Keywords Significant wave height; Missing values reconstruction; Product unit neural networks; Evolutionary algorithm
Universidad Loyola members

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